Category
Course Content
video recordings
0/17
Recording – Course Introduction | Indentation | Variables
02:08:15
Recording – Python DataTypes | Numbers | Booleans
46:22
Recording – String Processing part 1 | Get inputs from users
01:32:43
Recording – Type Casting | String Processing | Assignment Operators
58:12
Recording – Collections in Python
00:00
Recording – Python Sets and Dictionaries
02:36:26
Recording – Program-flow in Python programming
00:00
Recording – Python Functions
00:00
Recording – Python Modules
00:00
Recording – Object Oriented Programming in Python
00:00
Recording – Exception Handling in Python
00:00
Recording – Python Pandas
02:43:33
Recording – File Handling in Python
00:00
Data Visualisation
00:00
Unit Testing, Email Sending and Database management
00:00
Consume APIs using Python
02:01:32
Regular Expression – Regex
02:48:14
Introduction to Python Programming Language
0/2
Introduction to Python Programming Language
00:00
Getting Started with Python
00:00
Python Indentation, Comments and Variables
0/2
Python Indentation and Comments
00:00
Python Variables
00:00
Python Data Types
0/5
Python Data Types
00:00
Numerics (mathematical relevance)
00:00
Booleans (checking for truth)
00:00
String (sequences of characters)
00:00
Type Casting
00:00
Inputs , operators
0/2
Inputs from users
00:00
Python Operators
00:00
Collections in Python
0/7
Introduction to Python Collections
00:00
Python Lists
00:00
Python Tuples
00:00
Python Sets
00:00
Dictionaries
00:00
The `collections` module in Python
00:00
Exercises
00:00
Program Flow
0/5
Introduction to program flow
00:00
if … else
00:00
for loop
00:00
`while` loop
00:00
`break`, `continue`, and `exit`
00:00
Python Functions
0/2
Python Functions
00:00
In-built Functions in Python Programming
00:00
Python Modules
0/4
Modules vs. Functions in Python programming
00:00
Python Modules
00:00
Python Datetime (as an example of a Python module)
00:00
User-defined modules
00:00
Object Oriented Programming in Python
0/1
Object Oriented Programming in Python
00:00
File Handling in Python
0/1
File Handling in Python Programming
00:00
Exception Handling in Python
0/1
Exception Handling in Python
00:00
Python Pandas
0/9
Intro to Python Pandas
00:00
Data input in Pandas
00:00
Series in Pandas
00:00
Dataframe
00:00
Data manipulations using pandas
00:00
Data cleaning
00:00
Data Analysis
00:00
Data Output using Pandas
00:00
Data Visualisation
00:00
Data Visualisation using Python
0/8
Data Visualisation Introduction
00:00
Matplotlib Library for data visualisation
00:00
Line Graph
00:00
Scatter plots
00:00
Subplot
00:00
Bar Graph
00:00
Histograms
00:00
Pie Charts
00:00
Sending emails with Python
0/1
Email sending template
00:00
Unit test in python programming
0/1
unit test in python programming
00:00
Using Databse with Python programming
0/16
Database with Python
00:00
Python SQLite – introduction
00:00
Python SQLite – Connecting to Database
00:00
SQLite Datatypes and its Corresponding Python Types
00:00
Python SQLite – Cursor Object
00:00
Python SQLite – Create Table
00:00
Python SQLite – Insert Data
00:00
Python SQLite – Select Data from Table
00:00
Python SQLite – WHERE Clause
00:00
Python SQLite – ORDER BY Clause
00:00
Python SQLite – LIMIT Clause
00:00
Python SQLite – Update Data
00:00
Python SQLite – Update Specific Column
00:00
Python SQLite – JOIN Clause
00:00
Python SQLite – DROP Table
00:00
Python SQLite – Deleting Data in Table
00:00
Regular Expressions using Python
0/6
Regular expressions
00:00
Metacharacters in regular expressions
00:00
Regex – special Sequences
00:00
Regex – sets
00:00
The `finditer()` function
00:00
Regex – split function
00:00
Consuming APIs in Python
0/4
Introduction to APIs
00:00
Getting Started
00:00
Authenticating to Access Python APIs
00:00
Consuming Google Books API with Python: Practical Examples
00:00
Python Technical Interview Assignments – with solutions
Sharpen your Python skills with these programming challenges. Go through the solutions and then try to attempt them on your own.
0/24
Capital indexes
00:00
Middle letter
00:00
Online status
00:00
Randomness
00:00
Type check
00:00
Double letters
00:00
Adding and removing dots
00:00
Counting syllables
00:00
Anagrams
00:00
Flatten a list
00:00
Min-maxing
00:00
Divisible by 3
00:00
Tic tac toe input
00:00
Palindrome
00:00
Up and down
00:00
Consecutive zeros
00:00
All equal
00:00
Boolean and
00:00
Writing short code
00:00
Custom zip
00:00
Solution validation
00:00
List xor
00:00
Counting parameters
00:00
Thousands separator
00:00
Python programming (zero to advance!!!)
About Lesson

I. Introduction to APIs

A. What is an API?
1. Definition of API (Application Programming Interface):
– An API, or Application Programming Interface, is a set of rules, protocols, and tools that allows different software applications to communicate with each other. It defines the methods and data formats that applications can use to request and exchange information.

2. Purpose of APIs in software development:
– APIs serve as intermediaries that enable seamless interaction between different software components, systems, or services. They abstract the underlying complexity of systems and provide a standardized way for applications to access functionalities and data.

3. How APIs facilitate communication between different software components:
– APIs provide a well-defined interface that specifies the available operations and data formats. This enables developers to integrate diverse systems or services without needing to understand their internal workings. APIs act as bridges, allowing applications to request specific actions or data from other components, receive responses, and process them accordingly.

B. Why use APIs?
1. Advantages of using APIs in software development:
– Encapsulation: APIs encapsulate the implementation details of a system, exposing only the necessary functionalities and hiding the internal complexities.
– Modularity: APIs promote modular design by breaking down systems into smaller, reusable components that can be independently developed, maintained, and updated.
– Interoperability: APIs enable interoperability between different platforms, languages, and technologies, allowing diverse systems to work together seamlessly.
– Scalability: APIs facilitate scalability by enabling the integration of additional functionalities or services as needed, without requiring extensive modifications to existing systems.

2. Efficiency gains through API integration:
– By leveraging APIs, developers can rapidly integrate pre-built functionalities or services into their applications, saving time and effort in development.
– API integration reduces redundancy and promotes code reuse, as developers can utilize existing functionalities rather than reinventing the wheel.
– APIs streamline development workflows by providing standardized interfaces and protocols, simplifying the process of integrating and interacting with external resources.

3. Leveraging external functionalities and data through APIs:
– APIs allow applications to access external functionalities or services provided by third-party vendors or organizations.
– Developers can leverage APIs to access a wide range of data sources, including weather forecasts, financial information, social media feeds, and more.
– By integrating with external APIs, applications can enrich their functionality, enhance user experiences, and access valuable data that would otherwise be inaccessible or time-consuming to obtain.

C. Types of APIs
1. RESTful APIs:
– Explanation of REST (Representational State Transfer): REST is a software architectural style that defines a set of constraints for designing networked applications. It emphasizes a stateless client-server communication model, uniform resource identifiers (URIs) for resource identification, and the use of standard HTTP methods (GET, POST, PUT, DELETE) for manipulating resources.
– Characteristics of RESTful APIs: RESTful APIs adhere to the principles of REST, providing lightweight, scalable, and stateless communication between clients and servers. They use standard HTTP methods for CRUD operations (Create, Read, Update, Delete) and support representations such as JSON or XML for data interchange.

2. SOAP APIs:
– Explanation of SOAP (Simple Object Access Protocol): SOAP is a protocol for exchanging structured information in the implementation of web services. It defines a messaging framework consisting of XML-based message formats and a set of rules for message exchange between applications over a network.
– Characteristics of SOAP APIs: SOAP APIs rely on XML-based messages for communication and typically use HTTP or SMTP as the transport protocol. They offer features such as strong typing, built-in error handling, and support for complex data types, making them suitable for enterprise-level integration scenarios.

3. Other types of APIs (GraphQL, RPC, etc.):
– Brief overview of other API types and their use cases:
– GraphQL: GraphQL is a query language for APIs and a runtime for executing those queries with existing data. It allows clients to specify the data they need, enabling more efficient and flexible data fetching compared to traditional REST APIs.
– RPC (Remote Procedure Call): RPC is a protocol that enables a program to execute procedures or functions on a remote server as if they were local. It provides a mechanism for inter-process communication and is commonly used in distributed systems and microservices architectures.

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